People

• Machine Learning
• Computational Linguistics
• Text Mining
• Information Retrieval
• Text Classification
• Lexical Semantics
• NLP for Visual Knowledge Trasfer (Computer Vision)
• Hedging and Negation in Natural Language

I currently work as a postdoc researcher in the SIGMUND project at the UKP Lab, Technische Unversität Darmstadt.

You can find a longer list of my publications in my CV and a complete list of earlier papers (including papers written in Hungarian)  here.

Some selected papers in English:

• The CoNLL-2010 Shared Task: Learning to Detect Hedges and their Scope in Natural Language Text
  Richárd Farkas, Veronika Vincze, György Móra, János Csirik, György Szarvas
  14th Conference on Computational Natural Language Learning (CoNLL 2010) ST volume, PDF
• What Helps Where - And Why? Semantic Relatedness for Knowledge Transfer
  Marcus Rohrbach, Michael Stark, György Szarvas, Iryna Gurevych, Bernt Schiele
  23rd IEEE Conference on Computer Vision and Pattern Recognition (CVPR2010), PDF
• TUD: Semantic Relatedness for Relation Classification
  György Szarvas, Iryna Gurevych
  5th International Workshop on Semantic Evaluation (SemEval2010) at ACL 2010, PDF
• Prior Art Search using International Patent Classification Codes and All-Claims-Queries
  György Szarvas, Benjamin Herbert, Iryna Gurevych
  10th Workshop of the Cross Language Evaluation Forum (CLEF2009), PDF
• Hedge classification in biomedical texts with a weakly supervised selection of keywords
  György Szarvas
  Annual Meeting of the Association for Computational Linguistics (ACL) 2008, PDF
• The BioScope corpus: annotation for negation, uncertainty and their scope in biomedical texts
  György Szarvas, Veronika Vincze, Richárd Farkas and János Csirik
  BioNLP Workshop of Association for Computational Linguistics (BioNLP) 2008, PDF
  BMC Bioinformatics 2008, 9(Suppl 11), PDF
• Web based lemmatisation of Named Entities
  Richárd Farkas, Veronika Vincze,  István Nagy,  Róbert Ormándi, György Szarvas and Attila Almási
  Text Speech and Dialogue, TSD 2008, PDF
• Methods and Results of the Hungarian WordNet Project
  Márton Miháltz, Csaba Hatvani, Judit Kuti, György Szarvas, János Csirik, Gábor Prószéky, Tamás Váradi
  Global WordNet Conference, GWC 2008, PDF
• Automatic construction of rule-based ICD-9-CM coding systems
  Richárd Farkas, György Szarvas
  Languages in Biology and Medicine Symposium 2007 and BMC Bioinformatics 2008, 9(Suppl 3), 2007, PDF
• State-of-the-art Anonymization of Medical Records Using an Iterative Machine Learning Framework
  György Szarvas, Richárd Farkas, Róbert Busa-Fekete
  Journal of the American Medical Informatics Association, 2007, PDF

I served as a reviewer for the following journals and conferences:

• Journals:  Computational Linguistics,  Bionformatics,  Language Resources and Evaluation,  Artificial Intelligence in Medicine,  BMC Medical Informatics and Decision Making
• Conferences:  EMNLP-2009,  COLING-2010, CoNLL-2010 shared task,  AAAI-2011
  (secondary reviewer: ACL-2009, EMNLP-2010, ACL-2011)
• Workshops:  Louhi-2010 @ NAACL,  People's Web and NLP 2010 @ COLING,  Louhi-2011 @ AIME,  Relational Models of Semantics 2011 @ ACL,  Models of Scientific Discourse Annotation

I've co-organized the following events:

• CoNLL-2010 Shared Task - Learning to detect hedges and their scope in natural language text

I worked and studied at the following Institutes in the past:

Education:

University of Szeged (SZTE), Hungary; 2007-2008
Faculty of Science, Department of Informatics
Pre-Doctoral Research Fellow

University of Szeged (SZTE), Hungary; 2004-2007
Faculty of Science, Department of Informatics
Ph.D. student in Informatics (Machine Learning and Human Language Technology)

University of Szeged (SZTE), Hungary; 2001-2003
Faculty of Science, Department of Economical Software Engineering
(MSC as economical software engineer: summer 2003)

University of Szeged (SZTE), Hungary; 1998-2001
Faculty of Science, Department of Software Engineering
(BSC as software engineer: summer 2001)

Radnóti Miklós High School (Szeged), Hungary; 1992-1998
Special mathematics class
(Graduated with excellent grades (5 or "A" from all subjects))

Work experiences:

Research Group on Artificial Intelligence; 2008-2009 February
Hungarian Academy of Sciences & University of Szeged, Hungary
Research Associate

Research Group on Artificial Intelligence; 2003-2004
Hungarian Academy of Sciences & University of Szeged, Hungary
Research Assistant (Human Language Technology, Machine Learning)

University of Szeged, Department of Informatics; 2002-2003
Java, and C++ software developer in University projects

Adixo Research and Development Ltd; 2000-2001
C/C++ software developer

Language skills :
Hungarian (native)
English (fluent)

SR clue words list used for Semeval-2010 Task 8 submission

 BioScope corpus on negation and uncertainty in text

 CoNLL-2010 shared task data

 Hungarian NER corpora (business news and crime news)

 Hungarian lexical sample WSD corpus

 Hungarian WordNet

 Hungarian Treebank